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» A Context-Based Model of Attention
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WAPCV
2004
Springer
14 years 1 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
HICSS
2003
IEEE
137views Biometrics» more  HICSS 2003»
14 years 29 days ago
Augmented Cognition: Allocation of Attention
We describe a novel, model-based approach to augmented cognition. We first discuss a subset of cognitive limitations that are likely to impair performance. We then note traditiona...
Misha Pavel, Guoping Wang, Kehai Li
VISUAL
1999
Springer
13 years 12 months ago
From Gaze to Focus of Attention
Identifying human gaze or eye-movement ultimately serves the purpose of identifying an individual’s focus of attention. The knowledge of a person’s object of interest helps us...
Rainer Stiefelhagen, Michael Finke, Jie Yang, Alex...
CORR
2007
Springer
67views Education» more  CORR 2007»
13 years 7 months ago
Novelty and Collective Attention
The subject of collective attention is central to an information age where millions of people are inundated with daily messages. It is thus of interest to understand how attention...
Fang Wu, Bernardo A. Huberman
DAGM
2004
Springer
14 years 1 months ago
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms
We present a new measure for evaluation of algorithms for the detection of regions of interest (ROI) in, e.g., attention mechanisms. In contrast to existing measures, the present a...
Martin Clauss, Pierre Bayerl, Heiko Neumann